Advanced Imaging/ Noise reduction & Some finance stuff at the End

[Hugechris]

Hi,

This could be very interesting an would give some insights into how noise reduction can be performed at high frequency, there's a bit of finance stuff in the rest of the lecture.

Open to all.

Finance Focus Lecture with Unrisk

Deep Space Analytics - Michael Aichinger and Andreas Binder

Date and time: Tuesday, May 22nd, 6.30pm - 8.30pm

Location: Rooms 6, 7, 8 and 9. 3rd Floor, 7city Learning, 4 Chiswell Street, London, EC1Y 4UP

Register: This lecture will be available in the classroom or via online webcast. If you would like to attend please email T.McCahill@7city.com with either 'FF Classroom' or 'FF Webcast' in the subject.

This course is open to the public free of charge. If you have any interested colleagues or friends please feel free to pass this invitation on.

Lecture contents:

The European Extremely Large Telescope (E-ELT) will go into operation in 2020 and will then, with its 40 meter mirror, be the largest ground-based telescope on earth. The Austrian Adaptive Optics Team (consisting of MathConsult, RICAM and the Industrial Math Institute) have been and are developing the mathematical algorithms for deblurring the deep space images by deformable mirrors. For certain applications in Adaptive Optics, these algorithms are 100- 1000 times faster than conventional methods and can therefore adjust the mirror on a kilohertz scale. Some adaptive optics results will be presented before turning to finance.

In computational finance, the challenges are similar:

- Data are changing rapidly, and only fast, stable and robust algorithms can meet the increasing requirements.

- It is often difficult to distinguish between information and noise. Improper methods may lead to artefacts.

- Different deep space objects (stars, planets) need various methods for their detection and exploration. In finance, valuation analysis, risk assessment and risk management get more significant explanatory power by applying a multi-method approach.

The speakers have been working on their book "A Workout in Computational Finance", Wiley Finance (to appear in Q4 / 2012) for the last 18 months. It is their (you could name it) mission to present various numerical methods useful for the quant finance practitioner and to discuss their strengths and weaknesses. Some highlights of this book will be presented at Finance Focus.

About the Presenters:

Michael Aichinger obtained his Ph.D. in Theoretical Physics (University of Linz) in 2005. Currently he holds a position of a senior postdoc at the Radon Institute of Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences. His research interests include quantum physics, thermodynamics in the metal industries and computational finance.

Andreas Binder obtained his Ph.D. in Applied Mathematics (University of Linz) in 1991. Since 1996, he has been the CEO of MathConsult GmbH and head of its computational finance group.

About MathConsult and UnRisk:

MathConsult has been working on mathematical software solutions for technical applications and for finance since 1996. UnRisk, their financial software suite for valuation and risk management, has been installed in 100+ institutions in 20+ countries